Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI Reduces False Alarms in Security Cameras

Tired of your security system pinging your phone every time a car drives past? Motion-based alerts cause severe alert fatigue—causing property managers to ignore notifications until an actual incident happens. Brivo Video AI solves this by filtering out routine motion and prioritizing high-risk events, sending you direct notifications only when it matters.

AI Governance When the Data Subject Is a Minor

The assumption about AI systems affecting children is that the consent structure carries the difficulty. The subject cannot consent, so a parent consents instead, and the governance problem is collecting and tracking that permission. ‍ The assumption is backwards. Consent is usually the wrong lawful basis for these deployments, so the parental consent machinery is not required at all. What differs is something else entirely. ‍

Enterprise AI Security vs. Legacy DLP: Key Differences

Teams evaluating whether to replace or extend an existing DLP stack often run into the same question: Is this actually a different category of tool, or just DLP with an AI feature bolted on? The two security categories overlap enough to cause real confusion in a buying cycle, and many may think that once will, by extension cover the other.

Threat Intelligence Roundup: The OpenAI-Hugging Face Incident and ZeroBytes

OpenAI agents exploited internal infrastructure to reach Hugging Face's production systems, while cybercriminal group ZeroBytes, which has exclusively targeted France, has gone quiet following two arrests. CYJAX rounds up what happened and what it means for defenders. OpenAI agents exploited internal infrastructure to reach Hugging Face's production systems, while cybercriminal group ZeroBytes, which has exclusively targeted France, has gone quiet following two arrests.

How the Aurora Agentic SOC Is Building the Next Generation of SOC Analysts

AI is changing how security operations work. It can process more data, reduce repetitive work, and move investigations forward faster than human teams could on their own. But speed and scale are not the only factors security leaders should be considering. The more important question is what happens to human expertise when machines take on more of the investigative workload. Across the industry, there is growing concern that AI will narrow the path into technical careers.

Investigate your network in plain English: introducing Natural Language Query

Every SOC analyst has been there. An alert fires. You know what you need to find. Maybe it's all outbound connections from a specific host that spiked overnight. Maybe it's every DNS query over 100 characters from a subnet you're watching. You know the question. What you don't know is the exact query syntax you need to ask it. So you open the documentation. You search for field names. You try a query, get it wrong, adjust, and try again. Minutes pass.